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First IEEE International Conference on Engineering of Complex Computer Systems (ICECCS'95)
Knowledge-Based assistance for real-time systems
Ft. Lauderdale, Florida
November 06-November 10
ISBN: 0-8186-7123-8
R.T. Goettge, Adv. Syst. Technol. Inc., Englewood, CO, USA
E. Brehm, Adv. Syst. Technol. Inc., Englewood, CO, USA
C. Palczak, Adv. Syst. Technol. Inc., Englewood, CO, USA
J.A. Stankovic, Adv. Syst. Technol. Inc., Englewood, CO, USA
M. Humphrey, Adv. Syst. Technol. Inc., Englewood, CO, USA
This paper describes a tool called the Real-Time Scheduling Assistant (RTSA) that provides automated assistance in the areas of selection, evaluation, and implementation of scheduling algorithms for complex real-time systems. In RTSA, design elements relevant to real-time scheduling, including task set and processor characteristics, are specified using a graphical user interface. The tool's quantitative evaluation component provides a range of algorithms for analysis of the performance characteristics of systems and scheduling policies under consideration. The RTSA knowledge base contains real-time scheduling expertise that is encoded in the form of production rules, and applied using a forward chaining inference engine. Advice on multiple scheduling algorithms is offered at three levels: conceptual, analysis, and implementation.
Index Terms:
knowledge based systems; real-time systems; processor scheduling; scheduling; forward chaining; inference mechanisms; real-time systems; Real-Time Scheduling Assistant; scheduling algorithms; complex real-time systems; graphical user interface; quantitative evaluation; performance characteristics; RTSA knowledge base; multiple scheduling algorithms; knowledge-based assistance
Citation:
R.T. Goettge, E. Brehm, C. Palczak, J.A. Stankovic, M. Humphrey, "Knowledge-Based assistance for real-time systems," iceccs, pp.223, First IEEE International Conference on Engineering of Complex Computer Systems (ICECCS'95), 1995
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